Search ga_ls8c_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2022-01-07 11:42:41	ga_ls8c_ard_3-2-1_113084_2022-01-07_final
2022-04-12 12:31:06	ga_ls8c_ard_3-2-1_122067_2022-04-12_final
2023-05-26 09:15:01	ga_ls8c_ard_3-2-1_089088_2023-05-25_final
2023-07-10 08:42:06	ga_ls8c_ard_3-2-1_084082_2023-07-09_final
2023-08-28 09:23:17	ga_ls8c_ard_3-2-1_091076_2023-08-27_final
2023-08-31 11:35:51	ga_ls8c_ard_3-2-1_112083_2023-08-31_final
2023-09-04 11:07:55	ga_ls8c_ard_3-2-1_108075_2023-09-04_final
2023-09-06 09:17:52	ga_ls8c_ard_3-2-1_090078_2023-09-05_final
2023-09-07 11:41:36	ga_ls8c_ard_3-2-1_113082_2023-09-07_final
2023-09-14 10:07:47	ga_ls8c_ard_3-2-1_098079_2023-09-14_final
2023-09-14 11:46:16	ga_ls8c_ard_3-2-1_114078_2023-09-14_final
2023-09-16 09:51:51	ga_ls8c_ard_3-2-1_096070_2023-09-16_final
2023-09-18 09:45:05	ga_ls8c_ard_3-2-1_094084_2023-09-18_final
2023-09-18 11:23:58	ga_ls8c_ard_3-2-1_110084_2023-09-18_final
2023-09-25 11:29:46	ga_ls8c_ard_3-2-1_111083_2023-09-25_final
2023-09-28 10:18:13	ga_ls8c_ard_3-2-1_100074_2023-09-28_final
2023-09-29 09:28:35	ga_ls8c_ard_3-2-1_091089_2023-09-28_final
2023-09-29 11:02:17	ga_ls8c_ard_3-2-1_107076_2023-09-29_final
2023-09-30 10:07:28	ga_ls8c_ard_3-2-1_098078_2023-09-30_final
2023-10-07 10:11:15	ga_ls8c_ard_3-2-1_099072_2023-10-07_final
2023-10-07 10:11:39	ga_ls8c_ard_3-2-1_099073_2023-10-07_final
2023-10-07 11:51:20	ga_ls8c_ard_3-2-1_115075_2023-10-07_final
2023-10-08 10:54:07	ga_ls8c_ard_3-2-1_106071_2023-10-08_final
2023-10-10 09:06:29	ga_ls8c_ard_3-2-1_088080_2023-10-09_final
2023-10-13 11:12:18	ga_ls8c_ard_3-2-1_109070_2023-10-13_final
2023-10-15 11:00:44	ga_ls8c_ard_3-2-1_107072_2023-10-15_final
2023-10-16 10:06:42	ga_ls8c_ard_3-2-1_098076_2023-10-16_final
2023-10-22 11:05:43	ga_ls8c_ard_3-2-1_108069_2023-10-22_final
2023-10-25 10:00:57	ga_ls8c_ard_3-2-1_097077_2023-10-25_final
2023-10-27 09:52:36	ga_ls8c_ard_3-2-1_095087_2023-10-27_final
2023-10-30 10:21:55	ga_ls8c_ard_3-2-1_100083_2023-10-30_final
2023-10-30 11:58:00	ga_ls8c_ard_3-2-1_116076_2023-10-30_final
2023-10-31 09:23:30	ga_ls8c_ard_3-2-1_091076_2023-10-30_final
2023-10-31 11:00:47	ga_ls8c_ard_3-2-1_107072_2023-10-31_final
2023-11-01 10:10:21	ga_ls8c_ard_3-2-1_098085_2023-11-01_final
2023-11-02 09:14:19	ga_ls8c_ard_3-2-1_089084_2023-11-01_final
2023-11-03 09:52:48	ga_ls8c_ard_3-2-1_096072_2023-11-03_final
2023-11-09 10:54:55	ga_ls8c_ard_3-2-1_106073_2023-11-09_final
2023-11-13 10:28:38	ga_ls8c_ard_3-2-1_102069_2023-11-13_final
2023-11-18 09:13:56	ga_ls8c_ard_3-2-1_089083_2023-11-17_final
2023-11-18 09:14:20	ga_ls8c_ard_3-2-1_089084_2023-11-17_final
2023-11-18 09:15:56	ga_ls8c_ard_3-2-1_089088_2023-11-17_final
2023-11-19 09:57:12	ga_ls8c_ard_3-2-1_096083_2023-11-19_final
2023-11-25 10:55:50	ga_ls8c_ard_3-2-1_106075_2023-11-25_final
2023-11-29 10:29:29	ga_ls8c_ard_3-2-1_102071_2023-11-29_final
2023-11-29 10:33:05	ga_ls8c_ard_3-2-1_102080_2023-11-29_final
2023-11-30 09:39:27	ga_ls8c_ard_3-2-1_093085_2023-11-30_final
2023-12-02 09:23:28	ga_ls8c_ard_3-2-1_091076_2023-12-01_final
2023-12-03 10:03:55	ga_ls8c_ard_3-2-1_098069_2023-12-03_final
2023-12-03 10:07:54	ga_ls8c_ard_3-2-1_098079_2023-12-03_final
2023-12-03 10:09:30	ga_ls8c_ard_3-2-1_098083_2023-12-03_final
2023-12-04 09:13:27	ga_ls8c_ard_3-2-1_089082_2023-12-03_final
2023-12-08 10:23:35	ga_ls8c_ard_3-2-1_101072_2023-12-08_final
2023-12-09 11:06:28	ga_ls8c_ard_3-2-1_108071_2023-12-09_final
2023-12-12 11:41:48	ga_ls8c_ard_3-2-1_113082_2023-12-12_final
2023-12-14 11:29:51	ga_ls8c_ard_3-2-1_111083_2023-12-14_final
2023-12-16 11:11:56	ga_ls8c_ard_3-2-1_109069_2023-12-16_final
2023-12-16 11:12:43	ga_ls8c_ard_3-2-1_109071_2023-12-16_final
2023-12-16 11:13:31	ga_ls8c_ard_3-2-1_109073_2023-12-16_final
2023-12-17 10:22:18	ga_ls8c_ard_3-2-1_100084_2023-12-17_final
2023-12-22 10:40:03	ga_ls8c_ard_3-2-1_103082_2023-12-22_final
2023-12-23 09:44:26	ga_ls8c_ard_3-2-1_094082_2023-12-23_final
2023-12-27 10:56:58	ga_ls8c_ard_3-2-1_106078_2023-12-27_final
2023-12-30 09:47:46	ga_ls8c_ard_3-2-1_095075_2023-12-30_final
2024-01-01 09:36:34	ga_ls8c_ard_3-2-1_093078_2024-01-01_final
2024-01-03 09:23:47	ga_ls8c_ard_3-2-1_091077_2024-01-02_final
2024-01-04 10:05:01	ga_ls8c_ard_3-2-1_098072_2024-01-04_final
2024-01-05 10:49:28	ga_ls8c_ard_3-2-1_105075_2024-01-05_final
2024-01-08 11:24:00	ga_ls8c_ard_3-2-1_110084_2024-01-08_final
2024-01-09 10:26:23	ga_ls8c_ard_3-2-1_101079_2024-01-09_final
2024-01-10 09:32:46	ga_ls8c_ard_3-2-1_092084_2024-01-10_final
2024-01-12 09:22:25	ga_ls8c_ard_3-2-1_090089_2024-01-11_final
2024-01-20 10:07:50	ga_ls8c_ard_3-2-1_098079_2024-01-20_final
2024-01-24 11:18:21	ga_ls8c_ard_3-2-1_110070_2024-01-24_final
2024-01-24 11:18:45	ga_ls8c_ard_3-2-1_110071_2024-01-24_final
2024-02-02 09:34:55	ga_ls8c_ard_3-2-1_093074_2024-02-02_final
2024-02-04 09:22:10	ga_ls8c_ard_3-2-1_091073_2024-02-03_final
2024-02-07 09:52:17	ga_ls8c_ard_3-2-1_096071_2024-02-07_final
2024-02-11 11:11:38	ga_ls8c_ard_3-2-1_108084_2024-02-11_final
2024-02-13 09:21:59	ga_ls8c_ard_3-2-1_090088_2024-02-12_final
2024-02-14 10:00:02	ga_ls8c_ard_3-2-1_097075_2024-02-14_final
2024-02-16 11:25:21	ga_ls8c_ard_3-2-1_111072_2024-02-16_final
2024-02-17 10:31:20	ga_ls8c_ard_3-2-1_102076_2024-02-17_final
2024-02-19 10:16:58	ga_ls8c_ard_3-2-1_100071_2024-02-19_final
2024-02-20 09:26:32	ga_ls8c_ard_3-2-1_091084_2024-02-19_final
2024-02-23 09:57:01	ga_ls8c_ard_3-2-1_096083_2024-02-23_final
2024-02-29 09:18:17	ga_ls8c_ard_3-2-1_090079_2024-02-28_final
2024-03-01 09:58:44	ga_ls8c_ard_3-2-1_097072_2024-03-01_final
2024-03-01 11:42:24	ga_ls8c_ard_3-2-1_113084_2024-03-01_final
2024-03-02 10:45:58	ga_ls8c_ard_3-2-1_104082_2024-03-02_final
2024-03-03 11:29:37	ga_ls8c_ard_3-2-1_111083_2024-03-03_final
2024-03-13 10:25:19	ga_ls8c_ard_3-2-1_101077_2024-03-13_final
2024-03-14 09:31:41	ga_ls8c_ard_3-2-1_092082_2024-03-14_final
2024-03-14 09:34:29	ga_ls8c_ard_3-2-1_092089_2024-03-14_final
2024-03-22 11:58:19	ga_ls8c_ard_3-2-1_116078_2024-03-22_final
2024-03-25 10:47:52	ga_ls8c_ard_3-2-1_105072_2024-03-25_final
2024-04-03 09:07:09	ga_ls8c_ard_3-2-1_088083_2024-04-02_final
2024-04-04 09:47:13	ga_ls8c_ard_3-2-1_095075_2024-04-04_final
2024-04-04 11:24:30	ga_ls8c_ard_3-2-1_111071_2024-04-04_final
2024-04-04 11:24:54	ga_ls8c_ard_3-2-1_111072_2024-04-04_final

Return to ga_ls8c_ard_3 whole collection overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years